Toward Total Scene Understanding for Autonomous Driving—Drago Anguelov (Waymo) скачать в хорошем качестве

Toward Total Scene Understanding for Autonomous Driving—Drago Anguelov (Waymo)

Ben Taskar Distinguished Memorial Lecture Title: Toward Total Scene Understanding for Autonomous Driving Speaker: Drago Anguelov (Waymo) Host: Anat Caspi Date: January 25, 2024 Abstract: Machine learning has proven to be a key ingredient in building a performant and scalable Autonomous Vehicle stack, spanning key capabilities such as perception, behavior prediction, planning and simulation and evaluation. I will describe recent Waymo research on performant ML models and architectures that help us handle the variety and complexity of real world environments. I will also discuss how progress in building Autonomous Driving agents can impact people with disabilities and cover some current open questions about how to further enhance embodied AI agent capabilities with ML. Bio: Drago joined Waymo in 2018 to lead the Research team, which focuses on pushing the state of the art in autonomous driving using machine learning. Earlier in his career he spent eight years at Google; first working on 3D vision and pose estimation for StreetView, and later leading a research team which developed computer vision systems for annotating Google Photos. The team also invented popular methods such as the Inception neural network architecture, and the SSD detector, which helped win the Imagenet 2014 Classification and Detection challenges. Prior to joining Waymo, Drago led the 3D Perception team at Zoox. This video is closed captioned. A version of this video with ASL interpretation is available here:    • [ASL] Toward Total Scene Understanding for...